Duke University, Biomedical Engineering

137 21734
Position ID:Duke-BME-AIRDUNNT5522 [#21734, 1420]
Position Title: Associate in Research
Position Type:Other
Position Location:Durham, North Carolina 27708, United States [map]
Subject Area: Engineering / Biomedical
Appl Deadline:2022/06/30 11:59PMhelp popup (posted 2022/05/05, listed until 2022/06/30)
Position Description:    

We seek an Associate in Research to work at Duke University on an exciting new project at the interface of machine learning and healthcare. The associate will develop new tools that combine computer vision with electronic health record analysis to provide real-time clinical decision support after traumatic brain injury. Please note this is a short term position (6 months). Specific Work Performed • Build technical infrastructure for processing CT image volumes in real time • Clean and curate large clinical datasets • Build, train, and evaluate new multi-modal deep learning models • Perform exploratory data analysis Other Work Performed and Expectations • Document progress consistently and add progress reports to the lab archive • Attend weekly lab meetings • Communicate with staff and students in the lab, and assist in training new lab members to use established protocols Applicants must have a bachelor’s degree or equivalent. The applicant should have experience with Python programming and deep learning APIs, but there are no formal requirements for the type of degree. The position will provide opportunities to co-author publications and build a productive portfolio for applying to graduate programs or industry jobs in any field valuing experience with machine learning or clinical data science.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


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Further Info:
https://www.tdunnlab.org/
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